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    Applied visual analytics for exploring the National Health and Nutrition Examination Survey

    Access Status
    Fulltext not available
    Authors
    Torres, S.
    Eicher-Miller, H.
    Boushey, Carol
    Ebert, D.
    MacIejewski, R.
    Date
    2012
    Type
    Conference Paper
    
    Metadata
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    Citation
    Torres, S. and Eicher-Miller, H. and Boushey, C. and Ebert, D. and MacIejewski, R. 2012. Applied visual analytics for exploring the National Health and Nutrition Examination Survey, in n/a (ed), 2012 45th Hawaii International Conference on System Sciences (HICSS 2012), Jan 4 2012, pp. 1855-1863. Maui, Hawaii, USA: n/a.
    Source Title
    Proceedings of the Annual Hawaii International Conference on System Sciences
    Source Conference
    2012 45th Hawaii International Conference on System Sciences (HICSS 2012)
    DOI
    10.1109/HICSS.2012.116
    ISBN
    9780769545257
    URI
    http://hdl.handle.net/20.500.11937/66311
    Collection
    • Curtin Research Publications
    Abstract

    The National Health and Nutrition Examination Survey (NHANES) is a research program to assess the health and nutritional status of the population in the United States. In this work, we present a visual analytics system designed to help researchers explore patterns and form hypotheses within the NHANES dataset. The visualization component of the environment is an extension of traditional scatterplot matrices. Since the upper portion of the scatterplot matrix is a redundant encoding, we utilize this space, to show the projected N-dimensional clustering of points. The rows and columns of the matrix are automatically ordered using information about the cluster projection in each space as a means of showing the most meaningful dimensions. A comparison module has also been included that allows the user to compare groupings of people to the 2010 Dietary Guidelines for Americans. This tool enhances the analysis work by aiding discovery and hypothesis formation. © 2012 IEEE.

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